TY - GEN
T1 - Application of genetic algorithms to strip hot rolling scheduling
AU - Hernández Carreón, Carlos A.
AU - Fraire Huacuja, Héctor J.
AU - Fernandez, Karla Espriella
AU - Valdez, Guadalupe Castilla
AU - Mancilla Tolama, Juana E.
PY - 2007
Y1 - 2007
N2 - This paper presents an application of a genetic algorithm (GA) to the scheduling of hot rolling mills. The objective function used is based on earlier developments on flow stress modeling of steels. A hybrid two-phase procedure was applied in order to calculate the optimal pass reductions, in terms of minimum total rolling time. In the first phase, a non-linear optimization function was applied to evaluate the computational cost to the problem solution. For the second phase, a GA was applied. A comparison with two-point and simulated binary (SBX) crossover operators was established. The results were validated with data of industrial schedules. A GA with SBX crossover operator is shown to be an efficient method to calculate the multi-pass schedules at reduced processing time. © 2007 Springer-Verlag Berlin Heidelberg.
AB - This paper presents an application of a genetic algorithm (GA) to the scheduling of hot rolling mills. The objective function used is based on earlier developments on flow stress modeling of steels. A hybrid two-phase procedure was applied in order to calculate the optimal pass reductions, in terms of minimum total rolling time. In the first phase, a non-linear optimization function was applied to evaluate the computational cost to the problem solution. For the second phase, a GA was applied. A comparison with two-point and simulated binary (SBX) crossover operators was established. The results were validated with data of industrial schedules. A GA with SBX crossover operator is shown to be an efficient method to calculate the multi-pass schedules at reduced processing time. © 2007 Springer-Verlag Berlin Heidelberg.
KW - Genetic algorithms
KW - Hot rolling scheduling
KW - Optimization
KW - Simulated binary crossover
UR - http://www.scopus.com/inward/record.url?scp=61449210782&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-74972-1_33
DO - 10.1007/978-3-540-74972-1_33
M3 - Contribución a la conferencia
AN - SCOPUS:61449210782
SN - 9783540749714
T3 - Advances in Soft Computing
SP - 247
EP - 254
BT - Innovations in Hybrid Intelligent Systems
A2 - Corchado, Emilio
A2 - Corchado, Juan
A2 - Abraham, Ajith
ER -